Keras Average Pooling 1D Layer

This layer applies average pooling in a single dimension. Corresponds to the Keras Average Pooling 1D Layer.

Options

Name prefix

The name prefix of the layer. The prefix is complemented by an index suffix to obtain a unique layer name. If this option is unchecked, the name prefix is derived from the layer type.

Strides

The step size of the pooling window in one dimension.

Pool size

The size of the pooling window in one dimension.

Padding

Different padding modes to apply to the spatial dimensions (excluding the batch and channel dimensions) of the inputs before the pooling operation. The padding will be done with zeroes. A detailed explanation of the different modes can be found here.

Valid: No padding
Same: Padding such that the spatial output dimension do not change.
Full: Padding with kernel size - 1

Input Ports

: The Keras deep learning network to which to add an Average Pooling 1D layer.

Output Ports

: The Keras deep learning network with an added Average Pooling 1D layer.

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Installation

To use this node in KNIME, install the extension KNIME Deep Learning - Keras Integration from the below update site following our NodePit Product and Node Installation Guide:

v5.3

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.3.0.v202312081534

On NodePit since: 2024-07-09

Last update: 2024-11-15

KNIME versions: Since v3.6

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